Generative Models

Adversarial Schrödinger Bridge Matching NeurIPS 2024 Adversarial Text to Continuous Image Generation CVPR 2024 AESim: A Data-Driven Aircraft Engine Simulator IJCAI 2024 AFBench: A Large-scale Benchmark for Airfoil Design NeurIPS 2024 A General Implicit Framework for Fast NeRF Composition and Rendering AAAI 2024 A Generative Model for Lambek Categorial Sequents COLING 2024 A Generative Model of Symmetry Transformations NeurIPS 2024 A Generative Multi-Resolution Pyramid and Normal-Conditioning 3D Cloth Draping WACV 2024 A Generic and Flexible Regularization Framework for NeRFs WACV 2024 A Geometric Explanation of the Likelihood OOD Detection Paradox ICML 2024 A Hierarchical Sequence-to-Set Model with Coverage Mechanism for Aspect Category Sentiment Analysis COLING 2024 A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis AAAI 2024 Aleth-NeRF: Illumination Adaptive NeRF with Concealing Field Assumption AAAI 2024 Algorithm for Automatic Legislative Text Consolidation EMNLP 2024 Aligning Logits Generatively for Principled Black-Box Knowledge Distillation CVPR 2024 Aligning Speech Segments Beyond Pure Semantics ACL 2024 Aligning Target-Aware Molecule Diffusion Models with Exact Energy Optimization NeurIPS 2024 Align Your Gaussians: Text-to-4D with Dynamic 3D Gaussians and Composed Diffusion Models CVPR 2024 AlphaFold Meets Flow Matching for Generating Protein Ensembles ICML 2024 AMD: Autoregressive Motion Diffusion AAAI 2024 Amodal Completion via Progressive Mixed Context Diffusion CVPR 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract) AAAI 2024 Analysis of Learning a Flow-based Generative Model from Limited Sample Complexity ICLR 2024 An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation ICML 2024